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  2. DESeq2 - Wikipedia

    en.wikipedia.org/wiki/DESeq2

    DESeq2 is a software package in the field of bioinformatics and computational biology for the statistical programming language R.It is primarily employed for the analysis of high-throughput RNA sequencing (RNA-seq) data to identify differentially expressed genes between different experimental conditions.

  3. List of RNA-Seq bioinformatics tools - Wikipedia

    en.wikipedia.org/wiki/List_of_RNA-Seq...

    PathwaySeq [154] Pathway analysis for RNA-Seq data using a score-based approach. petal Co-expression network modelling in R. ToPASeq: [155] an R package for topology-based pathway analysis of microarray and RNA-Seq data. RNA-Enrich A cut-off free functional enrichment testing method for RNA-seq with improved detection power.

  4. Small RNA sequencing - Wikipedia

    en.wikipedia.org/wiki/Small_RNA_sequencing

    Illumina sequencing: it offers a good method for small RNA sequencing and it is the most widely used approach. [7] After the library preparation and amplification steps, the sequencing (based on the use of reversible dye-terminators ) can be performed by using different systems, such as Miseq System, Miseq Series, NextSeq Series and many others ...

  5. UGENE - Wikipedia

    en.wikipedia.org/wiki/UGENE

    The browser allows users to visualize and browse large (up to hundreds of millions of short reads) next generation sequence assemblies. It supports SAM, [20] BAM (the binary version of SAM), and ACE formats. Before browsing assembly data in UGENE, an input file is converted to a UGENE database file automatically. This approach has its pros and ...

  6. Sequence analysis - Wikipedia

    en.wikipedia.org/wiki/Sequence_analysis

    In bioinformatics, sequence analysis is the process of subjecting a DNA, RNA or peptide sequence to any of a wide range of analytical methods to understand its features, function, structure, or evolution. It can be performed on the entire genome, transcriptome or proteome of an organism, and can also involve only selected segments or regions ...

  7. Peak calling - Wikipedia

    en.wikipedia.org/wiki/Peak_calling

    Wilbanks and colleagues [3] is a survey of the ChIP-seq peak callers, and Bailey et al. [4] is a description of practical guidelines for peak calling in ChIP-seq data. Peak calling may be conducted on transcriptome/exome as well to RNA epigenome sequencing data from MeRIPseq [ 5 ] or m6Aseq [ 6 ] for detection of post-transcriptional RNA ...

  8. RNA spike-in - Wikipedia

    en.wikipedia.org/wiki/RNA_spike-in

    An RNA spike-in is an RNA transcript of known sequence and quantity used to calibrate measurements in RNA hybridization assays, such as DNA microarray experiments, RT-qPCR, and RNA-Seq. [ 1 ] A spike-in is designed to bind to a DNA molecule with a matching sequence , known as a control probe .

  9. MicroRNA biosensors - Wikipedia

    en.wikipedia.org/wiki/MicroRNA_Biosensors

    The quantity of RNA present is inferred from the probe signal’s intensity. While Northern Blotting is highly specific and helpful for validating high-throughput methods like RNA-seq, it requires a large sample volume, is time-consuming, and lacks precision in quantification analysis. [10] [11]